Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "62" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 54 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 52 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459869 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.014785 | 4.777214 | 16.044826 | 22.612182 | 3.903547 | 8.647672 | 1.104392 | 0.154313 | 0.6924 | 0.6944 | 0.3850 | nan | nan |
| 2459868 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.048414 | 4.353997 | 24.905520 | 35.288954 | 1.411684 | 5.597175 | 0.802807 | -2.499621 | 0.6698 | 0.6681 | 0.4040 | nan | nan |
| 2459867 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.694454 | 2.711765 | 20.066500 | 27.758832 | 1.260353 | 4.177637 | 0.494430 | -2.161629 | 0.6781 | 0.6687 | 0.4066 | nan | nan |
| 2459866 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.145316 | 3.177244 | 18.730855 | 25.700238 | 1.568287 | 4.163355 | 0.452793 | -1.721922 | 0.6826 | 0.6745 | 0.3992 | nan | nan |
| 2459865 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.539884 | 3.193007 | 24.045263 | 33.032616 | 2.810967 | 7.314240 | 6.010273 | 5.430701 | 0.7043 | 0.6949 | 0.3694 | nan | nan |
| 2459864 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.167082 | 9.854640 | 24.127425 | 24.608589 | 5.103558 | 9.777687 | -5.361813 | -5.946592 | 0.6843 | 0.6572 | 0.4184 | nan | nan |
| 2459863 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.675380 | 5.740787 | 4.058566 | 4.039278 | 1.407123 | 3.253437 | -3.024650 | -3.881718 | 0.6825 | 0.6532 | 0.4077 | nan | nan |
| 2459862 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.560160 | 7.608337 | 29.083167 | 29.495201 | 7.336161 | 13.355751 | -2.357111 | -3.057696 | 0.6734 | 0.6908 | 0.4212 | nan | nan |
| 2459861 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.577011 | 4.209099 | 2.745863 | 2.537770 | 0.403358 | 0.958682 | -3.423381 | -4.139777 | 0.6991 | 0.6689 | 0.4195 | nan | nan |
| 2459860 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.992019 | 5.758023 | 22.175601 | 22.515399 | 9.846846 | 16.173375 | -2.608556 | -3.481546 | 0.6996 | 0.6601 | 0.4189 | nan | nan |
| 2459859 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 3.417824 | 3.691690 | 2.823544 | 2.624930 | 0.680036 | 1.064734 | -2.470989 | -3.020278 | 0.7061 | 0.6652 | 0.4132 | nan | nan |
| 2459858 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.494685 | 4.107617 | 2.536677 | 2.433311 | 0.426840 | 1.001561 | -3.745448 | -4.409988 | 0.7168 | 0.6727 | 0.4257 | 2.911843 | 2.589395 |
| 2459857 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 15.624215 | 17.216216 | 6.228982 | 7.707841 | 6.323575 | 9.783461 | 1.627655 | 0.635604 | 0.0350 | 0.0370 | 0.0047 | nan | nan |
| 2459856 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.846127 | 7.543441 | 20.323940 | 20.743450 | 4.237866 | 9.519693 | -3.926204 | -4.388749 | 0.7067 | 0.6862 | 0.4090 | 2.935196 | 2.409416 |
| 2459855 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 75.594207 | 75.379119 | inf | inf | 4363.694470 | 4363.645964 | 4165.340837 | 4164.545046 | 0.0068 | 0.0064 | 0.0004 | 0.000000 | 0.000000 |
| 2459854 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.319463 | 4.255018 | 10.911993 | 13.673867 | -0.172363 | 0.953329 | -1.025255 | -2.130159 | 0.7146 | 0.7433 | 0.4410 | 3.298856 | 2.880933 |
| 2459853 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.038282 | 2.789881 | 14.150397 | 17.316849 | 0.824885 | 4.137747 | -1.025665 | -2.886980 | 0.7283 | 0.6804 | 0.4344 | 3.939765 | 3.160674 |
| 2459852 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.731192 | 3.127974 | 13.761256 | 16.771258 | 5.836025 | 10.054203 | 9.655734 | 11.462341 | 0.8143 | 0.8194 | 0.2687 | 5.008961 | 4.838693 |
| 2459851 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.454775 | 5.049512 | 15.656150 | 18.066987 | 4.138855 | 20.610817 | 2.023042 | 12.244226 | 0.7437 | 0.7401 | 0.3546 | 3.161026 | 2.622893 |
| 2459850 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.449856 | 2.934137 | 13.397903 | 16.100141 | 1.847220 | 8.443309 | 0.022336 | 5.776343 | 0.7312 | 0.7518 | 0.3589 | 3.166085 | 2.969473 |
| 2459849 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.803269 | 4.390775 | 27.160216 | 32.949189 | 0.780759 | 4.613003 | -1.084105 | -2.433344 | 0.7295 | 0.7433 | 0.3659 | 3.949588 | 3.203119 |
| 2459848 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.769959 | 4.010204 | 19.462971 | 23.233181 | 2.279615 | 8.241565 | -0.686365 | -2.162525 | 0.7125 | 0.7486 | 0.3826 | 3.938115 | 3.124982 |
| 2459847 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.918800 | 3.460774 | 18.384147 | 21.656261 | 1.700908 | 6.478646 | -0.000765 | -1.778174 | 0.7156 | 0.6798 | 0.4379 | 7.559867 | 5.976017 |
| 2459846 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.679982 | 9.981952 | 14.574493 | 17.614556 | 8.251354 | 11.561971 | -0.074927 | -0.763383 | 0.8359 | 0.6624 | 0.5037 | 9.189733 | 4.121884 |
| 2459845 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.187996 | 5.245375 | 24.916510 | 30.470559 | 1.801563 | 6.397499 | -0.199698 | -2.874586 | 0.7410 | 0.7542 | 0.3675 | 0.000000 | 0.000000 |
| 2459844 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.994023 | 5.030416 | 65.370515 | 70.654899 | 1.031227 | 1.460836 | 1.125008 | -0.549334 | 0.0311 | 0.0334 | 0.0033 | nan | nan |
| 2459843 | not_connected | 100.00% | 0.66% | 0.66% | 0.00% | 100.00% | 0.00% | 8.412020 | 9.765314 | 18.058582 | 18.870159 | 4.608402 | 9.914160 | -3.090676 | -3.757773 | 0.7385 | 0.7386 | 0.3919 | 3.142983 | 2.947175 |
| 2459842 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.460814 | 1.157250 | -0.284604 | -0.522644 | -2.101480 | -1.969099 | -1.939861 | -2.161574 | 0.7339 | 0.6379 | 0.2748 | 3.049149 | 2.717842 |
| 2459841 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 33.826922 | 40.616141 | 54.006353 | 61.944526 | 52.294359 | 53.143222 | 15.330640 | 12.055189 | 0.0332 | 0.0388 | 0.0064 | nan | nan |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 22.612182 | 3.014785 | 4.777214 | 16.044826 | 22.612182 | 3.903547 | 8.647672 | 1.104392 | 0.154313 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 35.288954 | 3.048414 | 4.353997 | 24.905520 | 35.288954 | 1.411684 | 5.597175 | 0.802807 | -2.499621 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 27.758832 | 1.694454 | 2.711765 | 20.066500 | 27.758832 | 1.260353 | 4.177637 | 0.494430 | -2.161629 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 25.700238 | 3.177244 | 2.145316 | 25.700238 | 18.730855 | 4.163355 | 1.568287 | -1.721922 | 0.452793 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 33.032616 | 3.539884 | 3.193007 | 24.045263 | 33.032616 | 2.810967 | 7.314240 | 6.010273 | 5.430701 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 24.608589 | 9.854640 | 8.167082 | 24.608589 | 24.127425 | 9.777687 | 5.103558 | -5.946592 | -5.361813 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Shape | 5.740787 | 4.675380 | 5.740787 | 4.058566 | 4.039278 | 1.407123 | 3.253437 | -3.024650 | -3.881718 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 29.495201 | 6.560160 | 7.608337 | 29.083167 | 29.495201 | 7.336161 | 13.355751 | -2.357111 | -3.057696 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Shape | 4.209099 | 4.209099 | 3.577011 | 2.537770 | 2.745863 | 0.958682 | 0.403358 | -4.139777 | -3.423381 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 22.515399 | 4.992019 | 5.758023 | 22.175601 | 22.515399 | 9.846846 | 16.173375 | -2.608556 | -3.481546 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Shape | 3.691690 | 3.417824 | 3.691690 | 2.823544 | 2.624930 | 0.680036 | 1.064734 | -2.470989 | -3.020278 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Shape | 4.107617 | 4.107617 | 3.494685 | 2.433311 | 2.536677 | 1.001561 | 0.426840 | -4.409988 | -3.745448 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Shape | 17.216216 | 17.216216 | 15.624215 | 7.707841 | 6.228982 | 9.783461 | 6.323575 | 0.635604 | 1.627655 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 20.743450 | 6.846127 | 7.543441 | 20.323940 | 20.743450 | 4.237866 | 9.519693 | -3.926204 | -4.388749 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | inf | 75.379119 | 75.594207 | inf | inf | 4363.645964 | 4363.694470 | 4164.545046 | 4165.340837 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 13.673867 | 4.255018 | 1.319463 | 13.673867 | 10.911993 | 0.953329 | -0.172363 | -2.130159 | -1.025255 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 17.316849 | 2.789881 | 1.038282 | 17.316849 | 14.150397 | 4.137747 | 0.824885 | -2.886980 | -1.025665 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 16.771258 | 1.731192 | 3.127974 | 13.761256 | 16.771258 | 5.836025 | 10.054203 | 9.655734 | 11.462341 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Temporal Variability | 20.610817 | 1.454775 | 5.049512 | 15.656150 | 18.066987 | 4.138855 | 20.610817 | 2.023042 | 12.244226 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 16.100141 | 1.449856 | 2.934137 | 13.397903 | 16.100141 | 1.847220 | 8.443309 | 0.022336 | 5.776343 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 32.949189 | 1.803269 | 4.390775 | 27.160216 | 32.949189 | 0.780759 | 4.613003 | -1.084105 | -2.433344 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 23.233181 | 4.010204 | 1.769959 | 23.233181 | 19.462971 | 8.241565 | 2.279615 | -2.162525 | -0.686365 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 21.656261 | 3.460774 | 1.918800 | 21.656261 | 18.384147 | 6.478646 | 1.700908 | -1.778174 | -0.000765 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 17.614556 | 7.679982 | 9.981952 | 14.574493 | 17.614556 | 8.251354 | 11.561971 | -0.074927 | -0.763383 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 30.470559 | 5.245375 | 3.187996 | 30.470559 | 24.916510 | 6.397499 | 1.801563 | -2.874586 | -0.199698 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 70.654899 | 0.994023 | 5.030416 | 65.370515 | 70.654899 | 1.031227 | 1.460836 | 1.125008 | -0.549334 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 18.870159 | 9.765314 | 8.412020 | 18.870159 | 18.058582 | 9.914160 | 4.608402 | -3.757773 | -3.090676 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | ee Shape | 1.460814 | 1.460814 | 1.157250 | -0.284604 | -0.522644 | -2.101480 | -1.969099 | -1.939861 | -2.161574 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | N06 | not_connected | nn Power | 61.944526 | 33.826922 | 40.616141 | 54.006353 | 61.944526 | 52.294359 | 53.143222 | 15.330640 | 12.055189 |